Introduction to Machine Learning in Neuroimaging.
Acta Neurochir Suppl
; 134: 121-124, 2022.
Article
in En
| MEDLINE
| ID: mdl-34862536
ABSTRACT
Advancements in neuroimaging and the availability of large-scale datasets enable the use of more sophisticated machine learning algorithms. In this chapter, we non-exhaustively discuss relevant analytical steps for the analysis of neuroimaging data using machine learning (ML), while the field of radiomics will be addressed separately (c.f., Chap. 18 -Radiomics). Broadly classified into supervised and unsupervised approaches, we discuss the encoding/decoding framework, which is often applied in cognitive neuroscience, and the use of ML for the analysis of unlabeled data using clustering.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Neuroimaging
/
Machine Learning
Language:
En
Journal:
Acta Neurochir Suppl
Year:
2022
Document type:
Article
Affiliation country:
Germany